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Collections

NameS DescriptionMaintainerUpdated_at

1-20 / 38 show all
GlycoBiologyAnnotations made to the titles and abstracts of the journal 'GlycoBiology'Jin-Dong Kim2019-03-10
PreeclampsiaPreeclampsia-related annotations for text miningJin-Dong Kim2019-03-10
DisGeNET5Associations obtained by text mining MEDLINE abstracts using the BeFree systemYue Wang2019-03-11
Graysokubo2019-03-11
LitCovid-v1This collection includes the result from the Covid-19 Virtual Hackathon. LitCovid is a comprehensive literature resource on the subject of Covid-19 collected by NCBI: https://www.ncbi.nlm.nih.gov/research/coronavirus/ Since the literature dataset was released, several groups are producing annotations to the dataset. To facilitate a venue for aggregating the valuable resources which are highly relevant to each other, and should be much more useful when they can be accessed together, this PubAnnotation collection is set up. It is a part of the Covid19-PubAnnotation project. In this collection, the LitCovid-docs project contains all the documents contained in the LitCovid literature collection, and the other projects are annotation datasets contributed by various groups. It is an open collection, which means anyone who wants to contribute can do so, in the following way: take the documents in the, LitCovid-docs project produce annotation to the texts based on your resource, and contribute the annotation back to this collection: create your own project at PubAnnotaiton, upload your annotation to the project (HowTo), and add the project to this collection. All the contributed annotations will become publicly available. Please note that, during uploading your annotation data, you do not need to be worried about slight changes in the text: PubAnnotation will automatically catch them and adjust the positions appropriately. Should you have any question, please feel free to mail to admin@pubannotation.org. Jin-Dong Kim2020-11-20
WMT Biomedical Taskwmtbio2020-12-18
LitCovid-sampleVarious annotations to a sample set of LitCovid, to demonstrate potential of harmonized various annotations.Jin-Dong Kim2021-01-14
CORD-19-sample-annotationJin-Dong Kim2020-04-21
Testingewha-bio2020-05-31
new_collectionserenity2020-09-29
LASIGE(old)The global motivation is the creation of parallel multilingual datasets for text mining systems in COVID-19-related literature. The expected contribution of the project will be the annotation of a multilingual parallel dataset (EN-ES and EN-PT), providing this resource to the community to improve the text mining research on COVID-19-related literature.pruas_182021-01-20
SMAFIRAWeb toolzebet2021-01-27
LitCovidJin-Dong Kim2021-10-18
LitCoinJin-Dong Kim2021-12-14
LitCoin-TestJin-Dong Kim2021-12-23
CORD-19CORD-19 (COVID-19 Open Research Dataset) is a free, open resource for the global research community provided by the Allen Institute for AI: https://pages.semanticscholar.org/coronavirus-research. As of 2020-03-20, it contains over 29,000 full text articles. This CORD-19 collection at PubAnnotation is prepared for the purpose of collecting annotations to the texts, so that they can be easily accessed and utilized. If you want to contribute with your annotation, take the documents in the CORD-19_All_docs project, produce your annotation to the texts using your annotation system, and contribute the annotation back to PubAnnotation (HowTo). All the contributed annotations will become publicly available. Please note that, during uploading your annotation data, you do not need to be worried about slight changes in the text: PubAnnotation will automatically catch them and adjust the positions appropriately. Once you have uploaded your annotation, please notify it to admin@pubannotation.org admin@pubannotation.org, so that it can be included in this collection, which will make your annotation much easily findable. Note that as the CORD-19 dataset grows, the documents in this collection also will be updated. IMPORTANT: CORD-19 License agreement requires that the dataset must be used for text and data mining only.Jin-Dong Kim2020-04-14
Glycosmos6This collection contains annotation projects which target all the PubMed abstracts (at the time of January 14, 2022) from the 6 glycobiology-related journals: Glycobiology Glycoconjugate journal The Journal of biological chemistry Journal of proteome research Journal of proteomics Carbohydrate research Jin-Dong Kim2023-11-16
PIRProtein Information Resource (PIR)Yue Wang2019-03-12
AnEMthe largest manually annotated corpus on anatomical entitiesYue Wang2019-04-03
Test_Collectionnajaingenerf2019-07-16